report

Brought to you by YData

Dataset statistics

Number of variables	16
Number of observations	13640
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	240
Duplicate rows (%)	1.8%
Total size in memory	4.6 MiB
Average record size in memory	353.3 B

Variable types

Numeric	9
Categorical	6
Text	1

Alerts

`Property Type` has constant value "apartment"	Constant
Dataset has 240 (1.8%) duplicate rows	Duplicates
`Condo` is highly overall correlated with `Parking` and 1 other fields	High correlation
`Parking` is highly overall correlated with `Condo` and 4 other fields	High correlation
`Rooms` is highly overall correlated with `Parking` and 1 other fields	High correlation
`Size` is highly overall correlated with `Condo` and 4 other fields	High correlation
`Suites` is highly overall correlated with `Parking` and 2 other fields	High correlation
`Toilets` is highly overall correlated with `Parking` and 2 other fields	High correlation
`New` is highly imbalanced (88.4%)	Imbalance
`Condo` has 1977 (14.5%) zeros	Zeros
`Suites` has 3285 (24.1%) zeros	Zeros
`Parking` has 570 (4.2%) zeros	Zeros
`Latitude` has 881 (6.5%) zeros	Zeros
`Longitude` has 881 (6.5%) zeros	Zeros

Reproduction

Analysis started	2025-05-01 17:51:15.599512
Analysis finished	2025-05-01 17:51:37.387835
Duration	21.79 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

Price
Real number (ℝ)

Distinct	1881
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	287737.78

Minimum	480
Maximum	10000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	106.7 KiB

Quantile statistics

Minimum	480
5-th percentile	1100
Q1	1858.75
median	8100
Q3	360000
95-th percentile	1180000
Maximum	10000000
Range	9999520
Interquartile range (IQR)	358141.25

Descriptive statistics

Standard deviation	590821.42
Coefficient of variation (CV)	2.0533328
Kurtosis	55.498831
Mean	287737.78
Median Absolute Deviation (MAD)	7200
Skewness	5.9355903
Sum	3.9247434 × 10⁹
Variance	3.4906995 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1500	367	2.7%
1200	362	2.7%
2500	299	2.2%
2000	276	2.0%
1300	276	2.0%
1600	271	2.0%
1400	243	1.8%
1100	238	1.7%
1800	237	1.7%
1000	232	1.7%
Other values (1871)	10839	79.5%

Value	Count	Frequency (%)
480	1	< 0.1%
500	5	< 0.1%
550	1	< 0.1%
600	7	0.1%
610	1	< 0.1%
628	1	< 0.1%
630	2	< 0.1%
650	13	0.1%
660	3	< 0.1%
670	1	< 0.1%

Value	Count	Frequency (%)
10000000	1	< 0.1%
9979947	1	< 0.1%
8500000	1	< 0.1%
8039200	1	< 0.1%
8000000	2	< 0.1%
7765616	1	< 0.1%
7559420	2	< 0.1%
7521000	1	< 0.1%
7500000	2	< 0.1%
7200000	1	< 0.1%

Condo
Real number (ℝ)

High correlation Zeros

Distinct	1415
Distinct (%)	10.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	689.88233

Minimum	0
Maximum	9500
Zeros	1977
Zeros (%)	14.5%
Negative	0
Negative (%)	0.0%
Memory size	106.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	290
median	500
Q3	835
95-th percentile	2057.6
Maximum	9500
Range	9500
Interquartile range (IQR)	545

Descriptive statistics

Standard deviation	757.64936
Coefficient of variation (CV)	1.0982298
Kurtosis	16.932039
Mean	689.88233
Median Absolute Deviation (MAD)	257
Skewness	3.1985952
Sum	9409995
Variance	574032.56
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1977	14.5%
400	303	2.2%
500	300	2.2%
350	269	2.0%
600	267	2.0%
450	258	1.9%
550	226	1.7%
700	217	1.6%
300	209	1.5%
650	171	1.3%
Other values (1405)	9443	69.2%

Value	Count	Frequency (%)
0	1977	14.5%
1	27	0.2%
3	1	< 0.1%
6	1	< 0.1%
10	4	< 0.1%
15	1	< 0.1%
20	2	< 0.1%
25	2	< 0.1%
30	1	< 0.1%
32	1	< 0.1%

Value	Count	Frequency (%)
9500	1	< 0.1%
8920	1	< 0.1%
8860	1	< 0.1%
8800	1	< 0.1%
8000	1	< 0.1%
7928	1	< 0.1%
7800	1	< 0.1%
7500	2	< 0.1%
7428	1	< 0.1%
7200	1	< 0.1%

Size
Real number (ℝ)

High correlation

Distinct	339
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	84.3739

Minimum	30
Maximum	880
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	106.7 KiB

Quantile statistics

Minimum	30
5-th percentile	39
Q1	50
median	65
Q3	94
95-th percentile	201
Maximum	880
Range	850
Interquartile range (IQR)	44

Descriptive statistics

Standard deviation	58.435676
Coefficient of variation (CV)	0.69258001
Kurtosis	15.698323
Mean	84.3739
Median Absolute Deviation (MAD)	17
Skewness	3.0813914
Sum	1150860
Variance	3414.7283
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	728	5.3%
60	514	3.8%
70	484	3.5%
48	412	3.0%
65	395	2.9%
45	353	2.6%
55	349	2.6%
56	303	2.2%
40	270	2.0%
47	257	1.9%
Other values (329)	9575	70.2%

Value	Count	Frequency (%)
30	73	0.5%
31	34	0.2%
32	48	0.4%
33	42	0.3%
34	56	0.4%
35	157	1.2%
36	60	0.4%
37	70	0.5%
38	99	0.7%
39	59	0.4%

Value	Count	Frequency (%)
880	1	< 0.1%
852	1	< 0.1%
670	1	< 0.1%
640	1	< 0.1%
627	1	< 0.1%
620	1	< 0.1%
600	1	< 0.1%
598	1	< 0.1%
574	1	< 0.1%
540	3	< 0.1%

Rooms
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3120235

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	106.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	10
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.77746074
Coefficient of variation (CV)	0.33626853
Kurtosis	0.66764682
Mean	2.3120235
Median Absolute Deviation (MAD)	1
Skewness	0.34651822
Sum	31536
Variance	0.60444521
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	6766	49.6%
3	4307	31.6%
1	1740	12.8%
4	802	5.9%
5	20	0.1%
6	3	< 0.1%
10	1	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
1	1740	12.8%
2	6766	49.6%
3	4307	31.6%
4	802	5.9%
5	20	0.1%
6	3	< 0.1%
7	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
7	1	< 0.1%
6	3	< 0.1%
5	20	0.1%
4	802	5.9%
3	4307	31.6%
2	6766	49.6%
1	1740	12.8%

Toilets
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.0736804

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	106.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	4
Maximum	8
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.9618026
Coefficient of variation (CV)	0.4638143
Kurtosis	3.3228095
Mean	2.0736804
Median Absolute Deviation (MAD)	0
Skewness	1.5961676
Sum	28285
Variance	0.92506425
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	8190	60.0%
1	3187	23.4%
3	940	6.9%
4	818	6.0%
5	422	3.1%
6	67	0.5%
7	14	0.1%
8	2	< 0.1%

Value	Count	Frequency (%)
1	3187	23.4%
2	8190	60.0%
3	940	6.9%
4	818	6.0%
5	422	3.1%
6	67	0.5%
7	14	0.1%
8	2	< 0.1%

Value	Count	Frequency (%)
8	2	< 0.1%
7	14	0.1%
6	67	0.5%
5	422	3.1%
4	818	6.0%
3	940	6.9%
2	8190	60.0%
1	3187	23.4%

Suites
Real number (ℝ)

High correlation Zeros

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.98079179

Minimum	0
Maximum	6
Zeros	3285
Zeros (%)	24.1%
Negative	0
Negative (%)	0.0%
Memory size	106.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.83489092
Coefficient of variation (CV)	0.85124175
Kurtosis	2.9845746
Mean	0.98079179
Median Absolute Deviation (MAD)	0
Skewness	1.4535991
Sum	13378
Variance	0.69704285
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	8669	63.6%
0	3285	24.1%
3	827	6.1%
2	607	4.5%
4	247	1.8%
5	4	< 0.1%
6	1	< 0.1%

Value	Count	Frequency (%)
0	3285	24.1%
1	8669	63.6%
2	607	4.5%
3	827	6.1%
4	247	1.8%
5	4	< 0.1%
6	1	< 0.1%

Value	Count	Frequency (%)
6	1	< 0.1%
5	4	< 0.1%
4	247	1.8%
3	827	6.1%
2	607	4.5%
1	8669	63.6%
0	3285	24.1%

Parking
Real number (ℝ)

High correlation Zeros

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3931818

Minimum	0
Maximum	9
Zeros	570
Zeros (%)	4.2%
Negative	0
Negative (%)	0.0%
Memory size	106.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.82993193
Coefficient of variation (CV)	0.5957097
Kurtosis	5.2611272
Mean	1.3931818
Median Absolute Deviation (MAD)	0
Skewness	1.8393646
Sum	19003
Variance	0.688787
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	8899	65.2%
2	2974	21.8%
3	757	5.5%
0	570	4.2%
4	347	2.5%
5	72	0.5%
6	14	0.1%
7	4	< 0.1%
8	2	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
0	570	4.2%
1	8899	65.2%
2	2974	21.8%
3	757	5.5%
4	347	2.5%
5	72	0.5%
6	14	0.1%
7	4	< 0.1%
8	2	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	2	< 0.1%
7	4	< 0.1%
6	14	0.1%
5	72	0.5%
4	347	2.5%
3	757	5.5%
2	2974	21.8%
1	8899	65.2%
0	570	4.2%

Elevator
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	772.7 KiB

0	8809
1	4831

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	13640
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	8809	64.6%
1	4831	35.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	8809	64.6%
1	4831	35.4%

Most occurring characters

Value	Count	Frequency (%)
0	8809	64.6%
1	4831	35.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	8809	64.6%
1	4831	35.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	8809	64.6%
1	4831	35.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	8809	64.6%
1	4831	35.4%

Furnished
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	772.7 KiB

0	11638
1	2002

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	13640
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11638	85.3%
1	2002	14.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11638	85.3%
1	2002	14.7%

Most occurring characters

Value	Count	Frequency (%)
0	11638	85.3%
1	2002	14.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11638	85.3%
1	2002	14.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11638	85.3%
1	2002	14.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11638	85.3%
1	2002	14.7%

Swimming Pool
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	772.7 KiB

1	6986
0	6654

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	13640
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	6986	51.2%
0	6654	48.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	6986	51.2%
0	6654	48.8%

Most occurring characters

Value	Count	Frequency (%)
1	6986	51.2%
0	6654	48.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	6986	51.2%
0	6654	48.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	6986	51.2%
0	6654	48.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	6986	51.2%
0	6654	48.8%

New
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	772.7 KiB

0	13427
1	213

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	13640
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	13427	98.4%
1	213	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	13427	98.4%
1	213	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	13427	98.4%
1	213	1.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	13427	98.4%
1	213	1.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	13427	98.4%
1	213	1.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	13427	98.4%
1	213	1.6%

District
Text

Distinct	96
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Length

Max length	28
Median length	23
Mean length	19.46239
Min length	12

Characters and Unicode

Total characters	265467
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Artur Alvim/São Paulo
2nd row	Artur Alvim/São Paulo
3rd row	Artur Alvim/São Paulo
4th row	Artur Alvim/São Paulo
5th row	Artur Alvim/São Paulo

Value	Count	Frequency (%)
paulo	13640	39.8%
vila	1814	5.3%
campo	513	1.5%
são	487	1.4%
pinheiros/são	479	1.4%
cidade	437	1.3%
jardim	398	1.2%
moema/são	293	0.9%
mooca/são	288	0.8%
itaim	286	0.8%
Other values (109)	15601	45.6%

Most occurring characters

Value	Count	Frequency (%)
o	35673	13.4%
a	32904	12.4%
	20596	7.8%
l	18693	7.0%
u	18582	7.0%
P	15612	5.9%
S	15401	5.8%
ã	15229	5.7%
/	13640	5.1%
i	10691	4.0%
Other values (44)	68446	25.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	265467	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	35673	13.4%
a	32904	12.4%
	20596	7.8%
l	18693	7.0%
u	18582	7.0%
P	15612	5.9%
S	15401	5.8%
ã	15229	5.7%
/	13640	5.1%
i	10691	4.0%
Other values (44)	68446	25.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	265467	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	35673	13.4%
a	32904	12.4%
	20596	7.8%
l	18693	7.0%
u	18582	7.0%
P	15612	5.9%
S	15401	5.8%
ã	15229	5.7%
/	13640	5.1%
i	10691	4.0%
Other values (44)	68446	25.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	265467	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	35673	13.4%
a	32904	12.4%
	20596	7.8%
l	18693	7.0%
u	18582	7.0%
P	15612	5.9%
S	15401	5.8%
ã	15229	5.7%
/	13640	5.1%
i	10691	4.0%
Other values (44)	68446	25.8%

Negotiation Type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	812.7 KiB

rent	7228
sale	6412

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	54560
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	rent
2nd row	rent
3rd row	rent
4th row	rent
5th row	rent

Common Values

Value	Count	Frequency (%)
rent	7228	53.0%
sale	6412	47.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rent	7228	53.0%
sale	6412	47.0%

Most occurring characters

Value	Count	Frequency (%)
e	13640	25.0%
r	7228	13.2%
n	7228	13.2%
t	7228	13.2%
s	6412	11.8%
a	6412	11.8%
l	6412	11.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	54560	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	13640	25.0%
r	7228	13.2%
n	7228	13.2%
t	7228	13.2%
s	6412	11.8%
a	6412	11.8%
l	6412	11.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	54560	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	13640	25.0%
r	7228	13.2%
n	7228	13.2%
t	7228	13.2%
s	6412	11.8%
a	6412	11.8%
l	6412	11.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	54560	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	13640	25.0%
r	7228	13.2%
n	7228	13.2%
t	7228	13.2%
s	6412	11.8%
a	6412	11.8%
l	6412	11.8%

Property Type
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	879.3 KiB

apartment	13640

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	122760
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	apartment
2nd row	apartment
3rd row	apartment
4th row	apartment
5th row	apartment

Common Values

Value	Count	Frequency (%)
apartment	13640	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
apartment	13640	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	27280	22.2%
t	27280	22.2%
p	13640	11.1%
r	13640	11.1%
m	13640	11.1%
e	13640	11.1%
n	13640	11.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	122760	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	27280	22.2%
t	27280	22.2%
p	13640	11.1%
r	13640	11.1%
m	13640	11.1%
e	13640	11.1%
n	13640	11.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	122760	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	27280	22.2%
t	27280	22.2%
p	13640	11.1%
r	13640	11.1%
m	13640	11.1%
e	13640	11.1%
n	13640	11.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	122760	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	27280	22.2%
t	27280	22.2%
p	13640	11.1%
r	13640	11.1%
m	13640	11.1%
e	13640	11.1%
n	13640	11.1%

Latitude
Real number (ℝ)

Zeros

Distinct	8405
Distinct (%)	61.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-22.077047

Minimum	-46.749039
Maximum	0
Zeros	881
Zeros (%)	6.5%
Negative	12759
Negative (%)	93.5%
Memory size	106.7 KiB

Quantile statistics

Minimum	-46.749039
5-th percentile	-23.661191
Q1	-23.594552
median	-23.552813
Q3	-23.51764
95-th percentile	0
Maximum	0
Range	46.749039
Interquartile range (IQR)	0.0769119

Descriptive statistics

Standard deviation	5.8666334
Coefficient of variation (CV)	-0.26573452
Kurtosis	10.361152
Mean	-22.077047
Median Absolute Deviation (MAD)	0.039699
Skewness	3.3370194
Sum	-301130.92
Variance	34.417387
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	881	6.5%
-23.5053909	57	0.4%
-23.604294	43	0.3%
-26.9225117	32	0.2%
-23.5002428	25	0.2%
-23.714221	25	0.2%
-23.5453953	22	0.2%
-23.522756	21	0.2%
-23.58575	20	0.1%
-23.585748	18	0.1%
Other values (8395)	12496	91.6%

Value	Count	Frequency (%)
-46.749039	1	< 0.1%
-46.734483	1	< 0.1%
-46.715115	1	< 0.1%
-46.700223	1	< 0.1%
-46.678478	1	< 0.1%
-46.677847	1	< 0.1%
-46.669247	1	< 0.1%
-46.668966	1	< 0.1%
-46.656944	1	< 0.1%
-46.655399	1	< 0.1%

Value	Count	Frequency (%)
0	881	6.5%
-1.3641735	1	< 0.1%
-14.2112427	1	< 0.1%
-15.5314939	1	< 0.1%
-21.8577415	1	< 0.1%
-22.3292281	1	< 0.1%
-22.4605143	1	< 0.1%
-22.7862985	1	< 0.1%
-22.8329885	2	< 0.1%
-23.174031	1	< 0.1%

Longitude
Real number (ℝ)

Zeros

Distinct	8451
Distinct (%)	62.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-43.597088

Minimum	-58.364352
Maximum	0
Zeros	881
Zeros (%)	6.5%
Negative	12759
Negative (%)	93.5%
Memory size	106.7 KiB

Quantile statistics

Minimum	-58.364352
5-th percentile	-46.744902
Q1	-46.681671
median	-46.637255
Q3	-46.56004
95-th percentile	0
Maximum	0
Range	58.364352
Interquartile range (IQR)	0.12163125

Descriptive statistics

Standard deviation	11.487288
Coefficient of variation (CV)	-0.26348751
Kurtosis	10.423235
Mean	-43.597088
Median Absolute Deviation (MAD)	0.05315615
Skewness	3.5205647
Sum	-594664.28
Variance	131.95779
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	881	6.5%
-46.6227832	57	0.4%
-46.518325	43	0.3%
-49.0607072	32	0.2%
-46.533612	26	0.2%
-46.704675	25	0.2%
-46.6276118	25	0.2%
-46.6167926	22	0.2%
-46.655492	21	0.2%
-46.533696	18	0.1%
Other values (8441)	12490	91.6%

Value	Count	Frequency (%)
-58.3643522	1	< 0.1%
-51.9763575	1	< 0.1%
-49.3378145	1	< 0.1%
-49.108049	1	< 0.1%
-49.0607072	32	0.2%
-49.0606445	14	0.1%
-48.2698339	1	< 0.1%
-47.3454718	1	< 0.1%
-47.1658588	2	< 0.1%
-47.008401	1	< 0.1%

Value	Count	Frequency (%)
0	881	6.5%
-23.468007	1	< 0.1%
-23.507452	1	< 0.1%
-23.51764	1	< 0.1%
-23.518222	1	< 0.1%
-23.518756	1	< 0.1%
-23.534683	1	< 0.1%
-23.535175	1	< 0.1%
-23.540783	1	< 0.1%
-23.545329	1	< 0.1%

	Condo	Elevator	Furnished	Latitude	Longitude	Negotiation Type	New	Parking	Price	Rooms	Size	Suites	Swimming Pool	Toilets
Condo	1.000	0.026	0.093	-0.155	-0.318	0.147	0.051	0.507	0.093	0.402	0.614	0.347	0.123	0.388
Elevator	0.026	1.000	0.066	0.130	0.135	0.120	0.169	0.093	0.069	0.032	0.032	0.223	0.204	0.231
Furnished	0.093	0.066	1.000	0.009	0.011	0.078	0.044	0.092	0.000	0.135	0.044	0.086	0.147	0.083
Latitude	-0.155	0.130	0.009	1.000	0.379	0.050	0.000	-0.133	-0.036	-0.083	-0.122	-0.190	0.036	-0.184
Longitude	-0.318	0.135	0.011	0.379	1.000	0.108	0.000	-0.224	-0.073	-0.134	-0.266	-0.231	0.104	-0.246
Negotiation Type	0.147	0.120	0.078	0.050	0.108	1.000	0.126	0.086	0.267	0.118	0.080	0.067	0.051	0.044
New	0.051	0.169	0.044	0.000	0.000	0.126	1.000	0.026	0.000	0.035	0.020	0.049	0.000	0.026
Parking	0.507	0.093	0.092	-0.133	-0.224	0.086	0.026	1.000	0.254	0.570	0.651	0.585	0.326	0.601
Price	0.093	0.069	0.000	-0.036	-0.073	0.267	0.000	0.254	1.000	0.240	0.276	0.206	0.097	0.239
Rooms	0.402	0.032	0.135	-0.083	-0.134	0.118	0.035	0.570	0.240	1.000	0.749	0.459	0.201	0.498
Size	0.614	0.032	0.044	-0.122	-0.266	0.080	0.020	0.651	0.276	0.749	1.000	0.508	0.122	0.558
Suites	0.347	0.223	0.086	-0.190	-0.231	0.067	0.049	0.585	0.206	0.459	0.508	1.000	0.281	0.928
Swimming Pool	0.123	0.204	0.147	0.036	0.104	0.051	0.000	0.326	0.097	0.201	0.122	0.281	1.000	0.275
Toilets	0.388	0.231	0.083	-0.184	-0.246	0.044	0.026	0.601	0.239	0.498	0.558	0.928	0.275	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	Price	Condo	Size	Rooms	Toilets	Suites	Parking	Elevator	District	Negotiation Type	Property Type	Latitude	Longitude
0	930	220	47	2	2	1	1	0	Artur Alvim/São Paulo	rent	apartment	-23.543138	-46.479486
1	1000	148	45	2	2	1	1	0	Artur Alvim/São Paulo	rent	apartment	-23.550239	-46.480718
2	1000	100	48	2	2	1	1	0	Artur Alvim/São Paulo	rent	apartment	-23.542818	-46.485665
3	1000	200	48	2	2	1	1	0	Artur Alvim/São Paulo	rent	apartment	-23.547171	-46.483014
4	1300	410	55	2	2	1	1	1	Artur Alvim/São Paulo	rent	apartment	-23.525025	-46.482436
5	1170	0	50	2	2	1	1	0	Artur Alvim/São Paulo	rent	apartment	-23.548751	-46.477195
6	1000	180	52	1	2	1	1	1	Artur Alvim/São Paulo	rent	apartment	-23.549840	-46.484137
7	900	150	40	2	2	1	1	0	Artur Alvim/São Paulo	rent	apartment	-23.539740	-46.492670
8	1000	0	65	2	2	1	1	0	Artur Alvim/São Paulo	rent	apartment	-23.548751	-46.477195
9	1000	0	100	2	2	1	1	0	Artur Alvim/São Paulo	rent	apartment	-23.548751	-46.477195

	Price	Condo	Size	Rooms	Toilets	Suites	Parking	Furnished	Swimming Pool	District	Negotiation Type	Property Type	Latitude	Longitude
13630	280000	480	55	2	1	0	1	0	0	Jabaquara/São Paulo	sale	apartment	-23.652529	-46.647468
13631	350000	554	68	2	1	0	1	0	0	Jabaquara/São Paulo	sale	apartment	-23.659879	-46.639641
13632	800000	996	86	3	2	1	2	0	1	Jabaquara/São Paulo	sale	apartment	-23.647569	-46.641989
13633	300000	370	47	2	1	0	1	0	0	Jabaquara/São Paulo	sale	apartment	-23.640301	-46.652619
13634	456000	770	85	3	1	0	1	0	0	Jabaquara/São Paulo	sale	apartment	-23.773509	-46.675631
13635	265000	420	51	2	1	0	1	0	0	Jabaquara/São Paulo	sale	apartment	-23.653004	-46.635463
13636	545000	630	74	3	2	1	2	0	1	Jabaquara/São Paulo	sale	apartment	-23.648930	-46.641982
13637	515000	1100	114	3	3	1	1	0	1	Jabaquara/São Paulo	sale	apartment	-23.649693	-46.649783
13638	345000	48	39	1	2	1	1	1	1	Jabaquara/São Paulo	sale	apartment	-23.652060	-46.637046
13639	161987	0	44	2	1	0	1	0	0	Jardim Ângela/São Paulo	sale	apartment	-23.613391	-46.523109

Most frequently occurring

	Price	Condo	Size	Rooms	Toilets	Suites	Parking	Elevator	Furnished	Swimming Pool	District	Negotiation Type	Property Type	Latitude	Longitude	# duplicates
42	1295	500	69	3	2	1	1	0	0	0	Jardim Ângela/São Paulo	rent	apartment	-23.604294	-46.518325	10
148	8000	1400	132	3	2	1	1	0	0	0	Iguatemi/São Paulo	rent	apartment	-23.585672	-46.681216	8
72	1600	0	50	2	1	0	1	1	0	0	Rio Pequeno/São Paulo	rent	apartment	-23.565075	-46.750646	7
29	1190	555	70	3	2	1	1	0	0	1	Jardim Ângela/São Paulo	rent	apartment	-23.604294	-46.518325	6
58	1400	330	56	2	2	1	1	0	0	0	Sapopemba/São Paulo	rent	apartment	-23.585748	-46.533696	6
22	1100	270	44	1	1	0	1	0	0	0	Jabaquara/São Paulo	rent	apartment	-23.655714	-46.636330	5
65	1500	273	31	1	1	0	1	0	0	1	Brás/São Paulo	rent	apartment	-23.545395	-46.616793	5
108	2500	456	49	1	1	0	1	0	0	1	Casa Verde/São Paulo	rent	apartment	0.000000	0.000000	5
147	7200	1900	62	1	2	1	2	0	1	0	Iguatemi/São Paulo	rent	apartment	-23.583830	-46.683541	5
180	199000	0	37	2	2	1	1	0	0	0	Perus/São Paulo	sale	apartment	-23.406884	-46.737037	5

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)